---
title: DeepSeek-R1 — Reasoning LLM | ModelsLab
description: Access DeepSeek-R1 model via API for chain-of-thought reasoning in math and code. Generate precise outputs now.
url: https://modelslab.com/deepseek-r1
canonical: https://modelslab.com/deepseek-r1
type: website
component: Seo/ModelPage
generated_at: 2026-04-15T02:01:02.501396Z
---

Available now on ModelsLab · Language Model

DeepSeek-R1
DeepSeek-R1 Reasoning Power
---

[Try DeepSeek-R1](/models/deepseek/deepseek-ai-DeepSeek-R1-Distill-Llama-70B) [API Documentation](https://docs.modelslab.com)

Master Complex Reasoning
---

MoE Efficiency

### 671B Parameters Active 37B

Routes queries to specialized experts for scalable inference.

RL Trained

### Chain-of-Thought Emerges

Self-verifies and corrects via reinforcement learning without SFT data.

Benchmark Leader

### Matches OpenAI o1

Excels in math, coding, science with explicit <think> blocks.

Examples

See what DeepSeek-R1 can create
---

Copy any prompt below and try it yourself in the [playground](/models/deepseek/deepseek-ai-DeepSeek-R1-Distill-Llama-70B).

Math Proof

“Prove Fermat's Last Theorem for n=3 using step-by-step chain-of-thought reasoning. Include self-verification and output final proof in <think> tags followed by concise answer.”

Code Debug

“Debug this Python function for sorting linked lists with duplicates: def sortList(head): ... Generate fixed code with explanations in <think> block, test cases, and optimized version.”

Science Explainer

“Explain quantum entanglement in Bell's theorem context. Use chain-of-thought to derive inequalities, self-correct assumptions, and summarize key implications.”

Logic Puzzle

“Solve Einstein's riddle: five houses, colors, nationalities, drinks, smokes, pets. Reason step-by-step in <think>, identify fish owner, verify solution.”

For Developers

A few lines of code.
Reasoning via DeepSeek-R1 API
---

ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.

- **Serverless:** scales to zero, scales to millions
- **Pay per token,** no minimums
- **Python and JavaScript SDKs,** plus REST API

[API Documentation ](https://docs.modelslab.com)

PythonJavaScriptcURL

Copy

```
<code>import requests

response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())</code>
```

FAQ

Common questions about DeepSeek-R1
---

[Read the docs ](https://docs.modelslab.com)

### What is DeepSeek-R1 model?

### How does deepseek r1 LLM work?

### What are DeepSeek-R1 API benefits?

### Is deepseek-r1 a DeepSeek-R1 alternative?

### What tasks suits deepseek r1 model?

### Are deepseek r1 alternatives available?

Ready to create?
---

Start generating with DeepSeek-R1 on ModelsLab.

[Try DeepSeek-R1](/models/deepseek/deepseek-ai-DeepSeek-R1-Distill-Llama-70B) [API Documentation](https://docs.modelslab.com)

---

*This markdown version is optimized for AI agents and LLMs.*

**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

---
*Generated by ModelsLab - 2026-04-15*